Research on melanocitic skin lesion infobase enlargment - new facts and concepts

• Autorzy: Chrzanowska D. , Niemiec R. , Hippe Z.

Identyfikatory

DOI

10.17466/tq2017/21.4/z

• Języki publikacji: EN

Abstrakty

EN

The melanocytic skin lesion infobase, available at http://synthesis.melanoma.pl (also http://synteza.melanoma.pl, in Polish; referred to as INP) is currently undergoing a complete modification of the way in which (i) the internal synthesis algorithms and (ii) the classification of lesions are performed. We investigated 29 new real images of melanocytic skin lesions, focusing on how humans perform classification based on experience. In conclusion we suggest to add a new color – connected with the depth of a lesion – to the K term of Asymmetry (A),Border (B) and linear Combination of colors and structures (K) method (referred to as ABK).

Słowa kluczowe

EN

melanoma; ABK; attributes importance

PL

znamiona melanocytowe; ABK; znaczenie atrybutów

• Wydawca: Politechnika Gdańska
• Czasopismo: TASK Quarterly : scientific bulletin of Academic Computer Centre in Gdansk
• Rocznik: 2017
• Tom: Vol. 21, No 4
• Strony: 391--393
• Opis fizyczny: Bibliogr. 5 poz., rys., tab.

Twórcy

autor

Chrzanowska D.

• Faculty of Medicine, UITM, mjr. H. Sucharskiego 2, 25-225 Rzeszów, Poland

autor

Niemiec R.

• Faculty of Applied Computer Science, UITMm mjr. H. Sucharskiego 2, 25-225 Rzeszów, Poland

autor

Hippe Z.

• Faculty of Applied Computer Science, UITMm mjr. H. Sucharskiego 2, 25-225 Rzeszów, Poland

Bibliografia

• [1] Celebi M E, Wan Q, Hwang S, Iyatomi H and Schaefer G 2013 Skin Research and Technology 19 (1) 252
• [2] Celebi M E, Iyatomi H, Schaefer G and Stoecher W V 2009 Computerized Medical Imaging and Graphics 33 (2) 148
• [3] Kohavi R and John G 1997 Artificial Intelligence Journal, special issue on relevance 97 (1-2) 273
• [4] Rudnicki W R, Kierczak M, Koronacki J and Komorowski J 2006 International Conference on Rough Sets and Current Trends in Computing, Springer 557
• [5] Breiman L 2001 Machine Learning 45.1 5

Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).